| 高光谱成像技术在肉品品质评价中的应用 |
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| 引用本文： | 刘海,郑福平,熊振海,刘源. 高光谱成像技术在肉品品质评价中的应用[J]. 食品科学, 2018, 39(11): 276-283. DOI: 10.7506/spkx1002-6630-201811043 |
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| 作者姓名： | 刘海 郑福平 熊振海 刘源 |
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| 作者单位： | 1.上海海洋大学食品学院，上海 201306；2.北京工商大学 食品质量与安全北京实验室，北京 100048；3.北京工商大学 北京食品营养与人类健康高精尖创新中心，北京 100048 |
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| 基金项目： | 国家自然科学基金应急管理项目（31540087）；北京食品营养与人类健康高精尖创新中心开放基金项目；北京工商大学食品质量与安全北京实验室开放课题；“十三五”国家重点研发计划重点专项（2016YFD0401501） |
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| 摘 要： | 高光谱成像技术具有图像技术和光谱学的优点，能同时获得食品物料的空间信息和光谱信息，进而达到快 速、无损、精准检测的效果。本文阐述了高光谱成像的基本原理，分析了高光谱图数据处理的方法；总结了高光谱 成像技术在肉品品质评价与检验方面的研究进展，并按肉品的检测指标进行了分类综述，以期为开展肉品品质评价 的研究提供借鉴。
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| 关 键 词： | 高光谱成像 肉品 品质 评价 无损检测 |
Application of Hyperspectral Imaging Technology in Meat Quality Evaluation |
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| LIU Hai,ZHENG Fuping,XIONG Zhenhai,LIU Yuan. Application of Hyperspectral Imaging Technology in Meat Quality Evaluation[J]. Food Science, 2018, 39(11): 276-283. DOI: 10.7506/spkx1002-6630-201811043 |
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| Authors: | LIU Hai ZHENG Fuping XIONG Zhenhai LIU Yuan |
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| Affiliation: | 1. College of Food Sciences and Technology, Shanghai Ocean University, Shanghai 201306, China; 2. Beijing Laboratory for Food Quality and Safety, Beijing Technology and Business University, Beijing 100048, China; 3. Beijing Advanced Innovation Center for Food Nutrition and Human Health, Beijing Technology and Business University, Beijing 100048, China |
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| Abstract: | Hyperspectral imaging technology integrates the advantages of both image technology and spectroscopy, and it can capture the spatial and spectral information on food materials for rapid, non-destructive and accurate detection. The main objectives of this review are to describe the basic principle of hyperspectral imaging technology and analyze hyperspectral data processing methods. In addition, we review recent progress in the application of hyperspectral imaging technology in the detection of various meat quality attributes, and conduct a classification review in accordance with detection indicators of meat products. This review is expected to provide valuable information for future studies on meat quality evaluation. |
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| Keywords: | hyperspectral imaging meat quality evaluation non-destructive detection |
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